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Qiuyu Liu

2 accepted papers

2025

Discrete Unit-based Low-latency Multi-lingual Speech Synthesis for LIMMITS'25 Challenge

ICASSP 2025accepted

In this paper, we present the system developed by our team, CCATTS, for the LIMMITS’25 challenge, focusing on few-shot and zero-shot TTS. We adopt a two-stage TTS strategy. In track 1, we fine-tune the pre-trained ZMM-TTS model and successfully achieve multilingual low-latency TTS. In track 2, we pr…

Cited by 0SourceScholar
2023

VF-Taco2: Towards Fast and Lightweight Synthesis for Autoregressive Models with Variation Autoencoder and Feature Distillation

ICASSP 2023accepted

With the development of deep learning, end-to-end neural text-to-speech (TTS) systems have achieved significant improvements in high-quality speech synthesis. However, most of these systems are attention-based autoregressive models, resulting in slow synthesis speed and large model parameter sizes.…

Cited by 0SourceScholar